Berkeley Lab Advances American Science Cloud Across 17 DOE Labs for Genesis Mission
Updated
Updated · HPCwire · Jul 15
Berkeley Lab Advances American Science Cloud Across 17 DOE Labs for Genesis Mission
2 articles · Updated · HPCwire · Jul 15
Summary
Berkeley Lab said it is helping build the American Science Cloud by supplying project leadership, science use cases and core networking and computing infrastructure for the DOE-led Genesis Mission.
Launched in October 2025, AmSC aims to make 17 national labs and 28 user facilities operate more like one AI-ready system, replacing fragmented logins and interfaces with shared identity, interoperable services and orchestration tools.
ESnet and NERSC are central to Berkeley Lab’s role, linking high-performance data transfer with computing resources while extending access to commercial cloud services and frontier AI models.
Berkeley-led use cases including SYNAPS-I, OPAL and MOAT are meant to cut analysis times from months to near real time and move major research facilities toward more autonomous, 'self-driving' lab operations.
The effort positions AmSC as the infrastructure layer of Genesis, a broader U.S. initiative to speed scientific discovery and address energy and national security challenges with AI.
Beyond speeding up data analysis, can the Genesis Mission's AI truly automate the 'aha' moment of scientific discovery?
As the US unifies its science cloud, will Europe's new sovereignty laws create a digital iron curtain for global research?
As AmSC integrates 17 labs, what is the key to preventing it from becoming another layer of complex government bureaucracy?
Genesis Mission at 233 Days: Building America’s AI Science Cloud for National Innovation and Security
Overview
The Genesis Mission, launched by President Donald Trump’s executive order on November 24, 2025, was created to boost innovation by strategically applying AI across various sectors. With a 270-day milestone set for achieving Initial Operating Capability, the mission has spent 233 days laying a strong foundation and aligning strategies, leaving about 37 days until this critical target. This period has focused on building the necessary frameworks to support future advancements, marking an intense phase of setup and coordination. The mission’s early progress highlights its commitment to transforming American research and innovation through AI-driven collaboration and infrastructure.